IT Systems Management in the Cloud

It’s time for a hands-off, automated approach, and organizations know it.

We all know about autonomous self-driving cars and databases, but what could machine learning (ML) do for IT operations? Oracle Management Cloud, with embedded automation capabilities, enables IT operations and security to reduce risk and increase DevOps agility.

Oracle Management Cloud is an integral part of Oracle’s adaptive, intelligent security and systems management portfolio, and it provides customers with a complete and integrated solution for managing and securing hybrid IT environments.

Cloud-based management solutions can ingest and process massive amounts of structured and unstructured data without requiring any effort by customers.

It’s a SaaS product, which means you use it. No maintenance required. It’s designed for security, IT operations and DevOps, with prebuilt ML capabilities that answer IT questions. You don’t have to develop your inner data scientist to use it. The benefits include three unique capabilities.

Comprehensive, Intelligent, Management Platform

Even though IT organizations have been investing in automation for several decades, benefits haven’t kept up with the proliferation of tools that claim to bring new levels of automation. In fact, one major challenge is that there are too many tools. Now they are delivered in the cloud too. The issue really is the complexity that results when you have to make decisions based on different tools that weren’t designed to work together. Oracle Management Cloud provides a unified solution that not only brings your data together, it also provides solutions across the entire spectrum of IT operations management. Furthermore, these tools work across heterogeneous environments and hybrid cloud so you can get end-to-end visibility and comprehensive insights about your IT environment as well as automate response actions.

A unified platform in the cloud with out-of-the-box machine learning reduces maintenance to zero while providing proactive monitoring and automatic remediation.

Zero-Effort Operational Insights

Oracle Management Cloud leverages different types of machine learning, including correlation, anomaly detection, clustering and forecasting, and it’s built to answer questions quickly and without any effort. Start your insights journey with questions like:

Is what I’m seeing normal or abnormal?

Which users are impacted?

What caused the problem?

What should I do next?

How do I prevent this in the future?

Leverage different types of machine learning to answer critical questions quickly and without any effort.

Automated Preventative and Corrective Actions

One of the toughest aspects of IT automation is how to proactively respond well before users or customers are impacted. Oracle Management Cloud provides smart, built-in orchestration to address this challenge. What if your system identified an application would reach maximum utilization in the next day? With an automated response, you can spin up additional resources, or if a security anomaly occurred, you could automatically turn off permissions to specific users.

Automated management solutions can make automated preventive and corrective actions instantly if needed.

Explore these resources on this page to learn more about how Oracle Management Cloud benefits IT systems management in the cloud.

Modern System Management

Designed for today’s heterogeneous environments: On premises, Oracle Cloud, and third-party cloud services

Oracle Management Cloud is a suite of next-generation integrated monitoring, management and analytics solutions delivered as a service on Oracle Cloud.

By leveraging Oracle Management Cloud, enterprises reduce mean time to repair, break down barriers between development and operations teams, and ensure a good user experience for critical business applications.

Powered by Machine Learning

Oracle Management Cloud comes pre-loaded with powerful machine learning algorithms to give customers smarter insights with no effort on their part. Anomaly detection algorithms identify normal and abnormal behavior, providing early warning of problems. Clustering algorithms use pattern recognition to reduce noise and get to the right information quickly. Prediction algorithms use historical data to provide what-if analysis and identify trends that require attention. Correlation algorithms discover dependencies, topologies and relationships among the IT estate, no matter how often and quickly it changes.